Title
Automated Mobile System for Accurate Outdoor Tree Crop Enumeration Using an Uncalibrated Camera
Abstract
This paper demonstrates an automated computer vision system for outdoor tree crop enumeration in a seedling nursery. The complete system incorporates both hardware components (including an embedded microcontroller, an odometry encoder, and an uncalibrated digital color camera) and software algorithms (including microcontroller algorithms and the proposed algorithm for tree crop enumeration) required to obtain robust performance in a natural outdoor environment. The enumeration system uses a three-step image analysis process based upon: (1) an orthographic plant projection method integrating a perspective transform with automatic parameter estimation; (2) a plant counting method based on projection histograms; and (3) a double-counting avoidance method based on a homography transform. Experimental results demonstrate the ability to count large numbers of plants automatically with no human effort. Results show that, for tree seedlings having a height up to 40 cm and a within-row tree spacing of approximately 10 cm, the algorithms successfully estimated the number of plants with an average accuracy of 95.2% for trees within a single image and 98% for counting of the whole plant population in a large sequence of images.
Year
DOI
Venue
2015
10.3390/s150818427
SENSORS
Keywords
Field
DocType
tree crop enumeration,plant counting,uncalibrated camera,perspective transform,projection histogram,homography transform
Histogram,Computer vision,Population,Orthographic projection,Enumeration,Odometry,Software,3D projection,Artificial intelligence,Encoder,Engineering
Journal
Volume
Issue
ISSN
15
8.0
1424-8220
Citations 
PageRank 
References 
1
0.41
16
Authors
7
Name
Order
Citations
PageRank
Thuy Nguyen179542.13
D. C. Slaughter2559.07
bradley d hanson310.41
andrew barber410.41
amy freitas510.41
daniel robles610.41
erin whelan710.41